Job Listings

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Ads Data & Insights team's mission at Netflix is to help build the foundation of the Ads business. We design effective metrics, conduct analyses and develop analytic tools, and build predictive models and algorithms using machine learning - all with the goal of creating more choices and joy for our members.

We are seeking a Senior Analytics Engineer to lead the development of a unified revenue analytics narrative and strategy for Netflix’s global Ads business. Building upon our growing data infrastructure, we need an end-to-end owner to operationalize core revenue datasets and drive the overarching business narrative. In this highly impactful role, you will build the semantic models, executive dashboards, and analysis frameworks that drive how we measure, reconcile, and communicate revenue across diverse stakeholder groups.

As a subject matter expert, you will play a pivotal role in shaping the analytics vision for revenue measurement. You will take foundational revenue definitions and champion them across Finance & Strategy, Revenue Accounting, and Product. This is an open opportunity to explore how we measure and think about revenue across the entire Ads business—empowering Netflix to deliver accurate, transparent, and timely insights that cascade into key downstream performance metrics.

What You Will Do:

• Lead the analytics vision for unified revenue measurement across Netflix Ads, designing and implementing frameworks to harmonize, quantify, and report on diverse revenue streams, including new content formats Netflix is launching, like Live and Free-to-air Broadcasting.
• Act as the lead Semantic Architect for revenue, driving consensus across F&S, Accounting, and Product, and codifying those agreed-upon definitions into the Ads Metrics Catalog (AMC) and our underlying semantic models.
• Build scalable, transparent data models and dashboards—in partnership with Data Engineering—that provide real-time and periodic insights into revenue streams, metric definitions, and the impact of adjustments, supporting daily operational needs and strict financial and SOX compliance reporting.
• Drive the narrative around how core revenue definitions impact downstream performance metrics (like CPM and CPS), conducting deep-dive research to explain the why behind metric movements.
• Act as a subject matter expert in revenue analytics, piloting scalable solutions for complex treatments (e.g., invoice discounts, agency fees, FX rates, makegoods, and integrated marketing fees), and driving innovation and transparency in how Netflix measures and communicates advertising revenue.
• Serve as the integration layer for revenue data. While partner teams may own localized source data (Sales, Live, etc.), you will be responsible for aggregating, harmonizing, and exposing the overarching executive revenue views in core reporting surfaces.

What You Bring:

• Experience working with financial datasets, revenue accounting, or ad-tech monetization analytics.
• A “Data Product Owner” mindset. You are comfortable with ambiguity and recognize that defining the metric across a matrixed organization is just as important as writing the code to build it.
• Communication superpower — the ability to communicate, influence, and connect the dots between insights and actions across a variety of stakeholders.
• Fluency in SQL, workflow orchestration tools like Apache Airflow, and at least one analytics and scripting language like Python.
• Mentors, brainstorms with, and enables others, especially within your functional area.
• A proven track record of balancing the need to move quickly with the high rigor and accuracy required for executive and financial reporting.
• Strong analytical rigor combined with the ability to conduct independent research and explain complex metric variances to senior leadership.
• Experience building or working with semantic modeling tools like LookML for creating and managing metric contracts is a plus.
• Curiosity or practical experience building with emerging AI technologies (e.g., Agentic AI) is a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Opportunity:
Fast-paced innovation in Generative AI and large language models (LLMs) is greatly helping to advance numerous aspects of the Search and Recommendations experiences on the Netflix product, including content discovery and personalization for members. 

The Search & Voice Systems team builds the backend systems that help millions of members globally find and discover content they’ll love via Search, Voice UI, and other interactive experiences in the Netflix product. The team is at the forefront of LLM innovation in the Consumer product and collaborates closely with machine learning research scientists, product managers, data engineers, and other engineering teams to deliver a personalized and interactive search experience, leveraging and paving the path for the latest advancements in LLMs. 

We are looking for a seasoned engineering leader with excellent product sense to lead an amazing team of engineers as we scale for continued growth. You will develop a vision for the team and generate an engineering roadmap to deliver on multiple product and engineering initiatives. You will exemplify the Netflix leadership principles and formulate strong partnerships throughout the company to guide your team and their work. In this role, you will lead a team of engineers specializing in search technologies and distributed systems to help pave the future of Search in the Netflix product!

Responsibilities:

• Balance multiple business and product priorities to deliver maximal impact
• Develop an engineering roadmap that positions our systems for scale and continued innovation
• Build a high-performing, inclusive, and diverse team of top engineering talent
• Build strong and trusting partnerships with Product Managers, Engineering leadership, and Business stakeholders
• Be a role model of the Netflix culture
• Contribute, shape, and influence the broader Personalization roadmap
• Support your team by helping them understand priorities and providing context to help them make better decisions
• Drive success in a flat organization with minimal process and a heavy emphasis on individual responsibility
• Understand the business and build domain expertise in functions relevant to your systems

Desired Experience:

• Experience leading teams responsible for building high-traffic distributed systems to power Search, Recommendations, or Personalization experiences in the product
• Strong technical acumen and can act as a credible technical advisor to the team, set and enforce a high-quality bar for code and scalable system design, and be a mentor for the team
• A track record of hiring and growing diverse, highly talented tenured engineers deep into their careers to maximize their impact
• Excellent at communicating context with the team, stakeholders, partners, and leadership, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement
• Demonstrated ability to develop, drive, and execute a technical vision and roadmap
• Able to provide thought partnership to your business stakeholders and are actively sought out by Product Managers (PMs). You can take a conceptual idea and transform it into an actionable test that is both feasible and meets business needs.
• Experience managing hybrid teams with members and partners distributed across (US) geographies & time zones

Links to Some of Our Work:

• Lessons Learnt From Consolidating ML Models in a Large Scale Recommendation System
• Global Languages Support at Netflix
• Query Facet Mapping and its Applications in Streaming Services: The Netflix Case Study

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $710,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*About Studio Tech Solutions (STS)*

For Netflix Studio to continue to scale and produce quality content, the Studio business teams work closely with product partners to innovate and develop technical solutions that support the entire content life cycle - planning, programming, producing, distributing and promoting content on a global scale. These solutions include internal enterprise applications that support critical functions, as well as short-term technical solutions that increase operational efficiency at the business user level on a smaller, rapidly iterative scale. STS works directly with business stakeholders, cross-functional product teams, and engineering partners to deliver these short-term solutions. The team's goal is to translate business challenges and opportunities for operational improvement into focused, nimble, and highly impactful solutions as an integral part of the Netflix Studio product and enterprise ecosystem.

*About the Role*

As a Solutions Software Engineer (L5) on the STS team, you'll be a part of a co-located team working out of the Los Angeles office. You'll use a broad set of internal and third-party technology and tools to contribute to highly targeted and adaptable solutions that increase operational efficiency within the Content Planning and Finance area of the Netflix Studio business. Your key areas of focus will be data ingestion and export, development of workflow automations and prototypes, third-party integrations, and contribution to the existing enterprise applications. You will interface with business users, analyze their needs, design and develop a solution, or leverage existing technology/tools with customized enhancements. Most of the solutions involve data ingestion or export tasks. While we value your ability to create well-defined systems, your effectiveness will be related to your ability to context switch effectively while developing nimble solutions for the business.

Your effectiveness in this role will be related to:

• Your ability to learn quickly and switch contexts productively in a highly collaborative development environment.
• Your curiosity to gain business and technical context to determine the efficient level of engineering investment for project scope.
• Your eagerness to share learning and project visibility with the team, partners, and stakeholders.
• Having a keen eye for identifying the team’s productivity tooling opportunities and working with partners to influence their feature roadmap.

You'll thrive in this role if:

• You are passionate about solving problems and love every aspect of the full-stack software development life cycle.
• You understand the importance of seeking in-depth and broad context to build an effective solution.
• You enjoy building prototypes and short-term solutions to help improve and empower users to innovate on business workflows.
• You are comfortable contributing to solutions at all technical levels, from scripting to building a custom application.
• You are able to pivot and iterate quickly on solutions and share learnings with partnering teams in a cross-functional environment.
• You are highly collaborative and enjoy building strong internal and cross-functional partnerships.
• You have a passion for learning and professional growth.

Qualifications:

• 4+ years of experience in full-stack development.
• Comfortable working with: Node.js, Python or Java.
• React or similar front-end frameworks.
• Experience with API integrations (GraphQL, REST and/or gRPC).
• Experience working with non-technical business stakeholders
• Keen understanding of database models and SQL.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Our Team

The Ads Reliability Engineering (SRE) team is on the front lines, ensuring the foundational stability for our rapidly expanding Ads business. We are looking for highly motivated engineers to safeguard the reliability, resilience, and scalability of the critical systems powering the Netflix Ad Suite.

Our team values proactive engineering, automating away toil, and learning from incidents to build stronger and more resilient Ads Systems. Your work here will directly impact revenue, member experience, and advertiser trust. Our Ads Reliability Engineers enjoy solving challenging business problems through technology. We’re looking for individuals with a keen eye for dissecting how complex distributed systems fail, and the skills to help teams balance building the right level of reliability while unblocking rapid feature development.

Your Role as an Ads Reliability Engineer

As an Ads Reliability Engineer, you will help guide the reliability of the Netflix Ad Suite. You will be responsible for ensuring we build resilient systems proactively, respond to issues with precision and calm, and evolve our culture and technology to prevent future failures and unlock engineering velocity.

Responsibilities Include:

• Design, implement, and maintain scalable and reliable infrastructure to support Netflix Ads Suite.
• Collaborate with engineering and product teams to integrate observability, reliability, and security considerations into the entire software development lifecycle.
• Coordinate capacity planning as we scale up Dynamic Ad Insertion for global-scale Netflix Live streaming.
• Develop and implement automation tools for monitoring, deployment, and incident response to ensure efficient and reliable operations.
• Participate in on-call rotations to ensure the 24/7 health of the Netflix Ad Suite and contribute to incident response, diagnosis, and resolution
• Implement and maintain a robust incident response framework, including blame-aware incident reviews to learn from operational surprises.
• Proactively identify sources of instability in distributed systems and analyze how complex systems fail from a reliability and resilience perspective.
• Champion and embed a culture of reliability across the Ads organization. You will act as a force multiplier, scaling your technical expertise by creating clear documentation, developing best-practice guides, and building tooling to automatically roll out reliability enhancements.
• 10-15% Travel Expectation

What We're Looking For

You may be a good fit if you:

• 5+ years of experience as a Site Reliability Engineer (SRE), Production Engineer, or similar role supporting business-critical, high-traffic services.
• Write code to solve problems. You are proficient in one or more languages like Python, Go, or Java and believe in automating solutions over manual effort.
• Are fluent in modern cloud infrastructure. You have hands-on experience with cloud providers such as AWS/Azure/GCP, Infrastructure as Code such as Terraform, and container orchestration systems like Kubernetes.
• Understand large-scale distributed systems, their common failure modes and edge cases.
• Thrive on collaboration and influence. You have excellent communication skills and a proven ability to build relationships with and educate engineering partners.
• Are a natural troubleshooter. You can calmly navigate complex production issues, identify root causes, and implement effective, lasting solutions.
• Possess a growth mindset. You are relentlessly curious, committed to continuous improvement, and passionate about scaling your expertise.

Strong candidates may also bring:

• Direct experience with Ad tech platforms, real-time bidding (RTB), DSPs, SSPs
• Direct experience with Dynamic Ad Insertion for Live Events
• Direct experience with systems that experience high-scale load spikes
• Experience with large-scale data pipelines or analytics platforms.
• A track record of contributing to open-source projects in the reliability space.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Open Connect organization is a critical group within Netflix that builds and manages a global Content Delivery Network that delivers all of Netflix’s streaming video, including Live content, Cloud Gaming, and Advertising. Our nascent cloud gaming service delivers entertainment using real-time, ultra low-latency network transport technologies.

We are looking for a senior software engineer with experience designing & implementing highly-interactive, ultra-low latency, bi-directional streams over the public Internet. In particular, you have a deep understanding of how the dynamically varying characteristics of internet paths influence the design and implementation of performant cloud gaming transport protocols.

You will help refine and improve our understanding of network path characteristics (including in-home WiFi behavior, bufferbloat mitigation on shared access links, and so forth); refine and import our heuristics for rate & latency estimation, rate adaptation, congestion control, and loss recovery for RTP-based media streams; collaborate with colleagues to implement and deploy new ideas in our server-side transport stack; and work closely with server, client and data analytics colleagues to improve our lab-based and production (A/B) testing techniques for evaluating service performance.

In this role, you will have the opportunity to directly impact an emerging area of business.  We provide the freedom to execute, learn and pivot, and the responsibility to be self directed, collaborative and insightful.

Qualifications & Experience:

• Experience identifying and solving highly complex transport problems that are open-ended or ambiguous and result in significant business or technical impact.
• Experience designing, implementing and deploying WebRTC-like transport stacks  for interactive, ultra low-latency streaming applications.
• Familiarity with how low-latency, two-way media flows over IP networks interact with WiFi paths, bufferbloat, active queue management, and concurrent TCP-like traffic.
• Practical understanding of modern strategies for balancing network congestion, goodput, latency and reliability in support of interactive, ultra low-latency streaming.
• Experience using network lab environments for controlled data networking experiments exploring large, multi-parameter test spaces. Experience using A/B testing methodologies for transport stack performance testing in production.
• An ability to articulate for diverse audiences the technical and business implications of performance measurement experiments executed both in the lab and in production.
• Experience with modern tools and scripting languages used for network traffic capture, test orchestration, post-capture analysis and presentation.

You will be successful in this role if you:

• Have the ability to define and self-manage cross-functional projects fueled by ambiguous questions.
• Are a self-starter, curious and not afraid to ask when in doubt.
• Are a quick learner and excited about learning new technologies.
• Advocate software craftsmanship, take pride in your work and enjoy taking full ownership of projects from conception to deployment in high-reliability production infrastructure.

Nice to have:

• Experience with software development in Linux or closely-related environments.
• Experience using hardware encoding pipelines as content sources for RTP streams, particularly in virtual machine and/or containerized environments.
• Experience partnering with remote engineering or product teams across multiple time zones.
• Masters or Bachelors degree in a relevant science or engineering discipline.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The personalization data engineering team is responsible for building large, web-scale datasets used for enabling and improving member experience. These datasets are integral inputs to our machine learning algorithms, which drive the exceptional experiences our members enjoy. 

About the role

Given the size, complexity and criticality of our datasets, we are looking for a Software Engineer with a deep analytical mindset and experience with modern distributed systems. As a member of this team, you will drive innovation in big data processing by contributing and adding to the team’s suite of data products and frameworks. You will also have the unique opportunity to partner with our world-class algorithm teams to drive continuous improvement and innovation to Netflix personalization.

Skills required for this role:

• Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets.
• Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently.
• Hands on experience with schema design and data modeling, with an unmistakable passion for elegant and intuitive dataset design.

Qualities we value:

• You have a passion for engineering excellence and tolerance for ambiguity in a fast-paced setting.
• You are independent and can allocate your time judiciously. You employ organizational context to resolve competing priorities.
• You are able to strategically partner with diverse stakeholders to drive innovation.
• You seek to drive change and influence others through clear and effective communication.
• You are both a leader and a learner and can smoothly inter-operate between the two personas with humility and maturity

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*Strong Recommendation: *Please submit a portfolio in your application (with the password)*

The Role

We recently launched a new ad-supported tier to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply immersed.

To help us deliver this compelling experience, we’re looking for a highly ambitious, visionary, and experienced Staff Product Designer who will help enable our global Ad tech suite – solidifying Netflix as the premier destination for brands to reach a premium, highly engaged audience. Additionally, you will enable an emerging era of CTV advertising innovation – developing systems that optimize ad performance and engagement.

Your work will also be essential to delivering a delightful, engaging, and highly relevant Ads experience for our Netflix members.

This will be a hybrid role, with a flexible work-from-home schedule. However, onsite attendance will be required as needed by the business - as often as weekly. This role would be best for candidates located in California or in the Pacific time zone, as monthly in-person travel will be required to collaborate with stakeholders and partners in Los Angeles, CA and Los Gatos, CA. That said, we can always make exceptions in location for the right candidate - with flexibility to accommodate candidates at Netflix’s New York City hub.

About Our Team

Our Ads Experience Design team designs the experience, technology, workflows, and capabilities that power Netflix’s advertising business. The Ads Platform Design team designs the tools, features, applications and flows for end-to-end ads lifecycle.  Our Ads Platform is comprehensive, best-in-class and rapidly growing, thus enabling highly performant and optimal advertiser-centric experiences. 

Our team’s primary superpower is the ability to design creatively and collaboratively in highly complex environments – from core services that power Netflix’s streaming technology to industry-leading partnership platforms.

You’ll be one of the staff designers who designs the ads workflows and core capabilities that power Netflix’s advertiser experience. More specifically, you’ll be a critical part of one of the most talented and trailblazing advertising design teams in the world.

Why You’ll Love Our Team

• We’re big on individual responsibility and smart on process.
• Work with stunning, supportive designers on problems that matter.
• Flexibility to balance work-from-home and in-office work, so long as you’re able to be onsite for meaningful moments of collaboration.
• Freedom and flexibility to craft your own design workflow, while harnessing Netflix’s world-class design system and tooling.
• Meaningful financial support for further education and professional growth.
• An inclusive environment to help you do your best work and feel genuinely supported.

What You Will Do

• Use strong storytelling to create a clear understanding of the UX strategy with  cross-functional teams. Apply big-picture thinking to break down ambiguous opportunities into actionable roadmaps.
• Collaborate with cross-functional teams spanning sales, marketing, research, data science, product management, and engineering to develop and iterate upon new concepts and facilitate product execution.
• Identify, research, design, and execute business differentiating features for Netflix’s advertising suite.
• Craft strategic design briefs that provide business, design, and engineering clarity for critical initiatives.
• Influence ads business strategy by developing a deep understanding of end-to-end advertising ad tech experience, ensuring our ads platform experience aligns with Netflix’s broader business ecosystem.

What We’re Looking For

• A strong, strategic leader able to work across various strategic and tactical levels, rapidly sketching and prototyping.
• Innate curiosity to understand needs across the business and develop solutions that address core needs, while thriving in ambiguity and a fast pace.
• Work across all stages of the design process (user research, ideation, concept development, validation, wireframing, prototyping, final visual design, and implementation support).
• Partner with PMs to craft systematic solutions that connect the dots between user needs, data, business goals, and business strategy. Facilitate collaborative work sessions with all levels of company stakeholders.
• Domain familiarity with advertising technology best practices - you’re comfortable with advertising nomenclature, operations, and Live streaming technology.
• A passionate energy for great design and amplifying our team culture.
• 15+ years as a Product Designer (or equivalent experience) in the B2B2C space, leading high-impact initiatives from concept to execution in technical business areas.
• 5+ years as a Product Designer working specifically in advertising or ads adjacent industries.
• A versatile portfolio that showcases deep interaction and problem solving skills, specifically case studies that demonstrate expertise and leadership solving complex business platforms.
• Understanding of complex workflows designed to scale across diverse, global operations teams.
• Excellent verbal and written communication skills that excite stakeholders and articulate a vision.
• Highly organized with meticulous attention to detail (e.g writing documentation to support your design decisions).

Even Better:

• Ad tech domain expertise: you’ve developed expertise in delivering advertising technology to a global audience.
• Experience working with complex internal systems, data platforms, and highly technical environments (like API platforms).
• Experience leading design strategy for B2B2C advertising ecosystem (e.g. influencing product direction through the lens of experience design).

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $460,000.00 - $710,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Location

Los Gatos, CA, Los Angeles, CA, or Remote (within the US). Regular travel to Los Gatos and Los Angeles is required.

*The Team*

The Content Platform Operations & Publishing (CPOP) team sits at the intersection of AI and machine learning, the consumer experience and the Netflix Studio. We are an integral part of making the Netflix experience feel personal and relevant by developing innovative approaches to how we promote, localize, and distribute our content. Our products impact both our members and the content creators, linguists, editors and executives who make our shows and films possible.

We are seeking a Product Manager with strong understanding of machine learning and passion for AI innovation and technology to lead strategic initiatives that will transform our internal tools and content operations.

In this role, you will:

• Drive the integration of state-of-the-art AI and machine learning models into our content platform and publishing tools enabling hyper-personalized and contextually relevant experiences for global audiences.
• Collaborate with cross-functional teams to develop intelligent systems that automate and optimize the creation of high-quality promotional assets, supporting our rapidly expanding content catalog.
• Identify and implement novel AI-driven solutions to complex challenges in content distribution, asset management, and language experiences, ensuring our platform remains at the cutting edge of entertainment technology.
• Partner with researchers, engineers, and stakeholders to translate the latest advancements in AI into scalable, user-centric products that empower both Netflix members and our creative partners.

If you thrive at the intersection of AI technology and entertainment, and are excited to shape the future of content operations through innovation, we’d love to hear from you!

*Responsibilities include:*

• Build strategic roadmaps, taking product concepts from idea through validation, shipping, measurement, and iteration. You will author strategy memos and presentations to represent your team's work to senior executives.
• Lead the incubation and system design of new Machine Learning or AI capabilities, from idea to production in partnership with applied researchers, data scientists, and engineers, and integrating these capabilities into our suite of tools.
• Discover new needs that artists, creators and content executives have, distilling their needs into product roadmaps and delivering solutions that drive real business impact.
• Communicate your vision and strategy broadly throughout the organization, presenting technical and complex information to non-technical audiences.
• Use exceptional analytical and ML/AI evaluation skills and a rigorous, hypothesis-driven approach to inform priorities, build business cases, and measure impact.

What We’re Looking For

While no candidate will check every box, we are looking for a senior Product Manager with a proven track record of success.

• 6+ years of product management experience with a proven record of prioritizing and successfully launching impactful products or platforms.
• Intermediate or advanced knowledge of Machine Learning techniques and evaluation best practices
• Ability to mobilize an entire organization toward a common goal and build strong relationships across functions and geographies.
• Previous experience in leading end-to-end products that incorporate Machine Learning and AI focused solutions, including experience launching AI-enabled products and perfecting/customizing underlying models.
• Previous experience with the ML lifecycle (data collection and labeling, model evaluation, etc.).
• Applied experience using data to inform priorities and evaluate impact.

• Excellent written and verbal communication skills.

• Experience building products for creative teams, internal partners, or B2B enterprise clients.

• Experience with media supply chains, localization, or translation is a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

*Summary:*

The Principal Product Manager, Payment Platform, leads the evolution and scaling of Netflix’s global payments infrastructure. This pivotal role ensures our platform remains robust, flexible, and ready to support high transaction volumes, new business models, and rapid market growth. You will set the vision and strategy for the platform, drive technical and operational excellence, and partner across the organization to enable seamless, secure, and innovative payment experiences for all Netflix members and business lines.

This role is central to supporting Netflix’s global growth, enabling new business models, and delivering seamless, secure payments at scale. By owning the payments platform, this leader ensures Netflix can rapidly innovate, enter new markets, and maintain industry-leading payment performance.

Location: This role can be based in our Los Gatos or Los Angeles offices, with a hybrid model. This role can also be remote-based on the West Coast. Travel will be required to our Los Gatos and/or Los Angeles offices.

*Responsibilities:*

• Set the strategic direction for the payments platform, ensuring it is scalable, reliable, and adaptable to new business models and global growth.
• Oversee the design, implementation, and continuous optimization of core payment platform components, including infrastructure, integrations, and developer-facing APIs.
• Lead efforts to improve platform scalability, performance, and reliability, proactively identifying and addressing bottlenecks.
• Manage and optimize integrations with payment providers, processors, and ecosystem partners to maximize payment success and revenue protection.
• Drive the adoption and integration of machine learning to enhance payment performance and help to develop the underlying platform leveraged for fraud detection and personalized payment flows.
• Collaborate with internal business lines to deliver flexible, reusable payments capabilities that accelerate innovation.
• Partner with cross-functional teams (engineering, finance, legal, product, data science) to ensure platform solutions meet compliance, security, and business requirements.
• Build strong relationships with external partners to stay ahead of industry trends, regulatory changes, and emerging technologies.
• Partner with other product teams as needed to ensure payment platform solutions seamlessly support new business initiatives and cross-domain experiences.

*Domain Qualifications:*

• 8+ years of experience in product management, platform engineering, and/or technical program management within payments.
• Deep understanding of global payment systems, payment processing infrastructure, and third-party integrations.
• Proven track record of scaling and optimizing large-scale, high-availability platforms.
• Experience with API-first product development and developer platform strategy.
• Familiarity with machine learning applications in payments (e.g., routing optimization, fraud detection).
• Strong understanding of regulatory, compliance, and security requirements for global payments.
• Experience leading cross-functional teams and collaborating with engineering, operations, finance, legal, and external partners.
• Ability to translate complex technical challenges into scalable, business-oriented solutions.

*Other Skills and Competencies:*

• Excellent communication, stakeholder management, and influencing skills.
• Strong analytical and problem-solving abilities; comfortable with data-driven decision-making.
• Outstanding organizational and project management skills, able to manage multiple priorities in a fast-paced environment.
• Strategic thinker with a bias for action and continuous improvement.
• High level of ownership, accountability, and attention to detail.
• Ability to mentor and develop talent, fostering a culture of collaboration and innovation.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to enhancing our understanding of our audience and content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

The Opportunity

The ML Insights & Visualizations team builds powerful tools and platforms that enable hundreds of AI/ML practitioners across Netflix to develop, deploy, and monitor business-critical models. Our mission is to deliver seamless, intuitive, and insightful experiences that boost productivity and innovation for teams working on personalization, growth, commerce, ads, content, and studio AI/ML algorithms.

We are seeking talented Full-Stack Engineers to join us in developing end-to-end solutions that span UI, backend, and data layers. You’ll work closely with product managers, ML engineers, data scientists, and other cross-functional partners to create robust observability and visualization workflows for cutting-edge AI/ML models, including bandits, multi-task learning models, Large Language Models (LLMs), and other foundation models. 

What You’ll Do

• Design & Build End-to-End Solutions: Develop and maintain web-based internal tools and platforms that help AI/ML practitioners visualize, monitor, and operate AI/ML models and pipelines.
• Enhance Observability: Build and improve dashboards for model observability, anomaly and drift detection, cost monitoring, and system health.
• Improve User Experience: Collaborate with users and stakeholders to gather feedback and deliver intuitive, seamless, and impactful user experiences.
• Drive Product Excellence: Continuously improve our systems, codebase, and team processes to enhance overall performance. Introduce and champion best practices in full-stack development.
• Cross-Functional Collaboration: Partner with engineering, product, and research teams distributed across multiple US-based time zones to deliver impactful solutions and drive ML/AI innovation at Netflix.

Must-Have Skills

• Full-Stack Development: Proficiency in modern UI frameworks (React preferred), JavaScript/TypeScript, Node.js, and building scalable backend systems (Java, Scala, or similar; Spring Boot or equivalent frameworks).
• Cloud Experience: Hands-on experience with public cloud platforms (AWS, Azure, or GCP).
• Data & Observability: Familiarity with ML model lifecycle management, logging, metrics, analytics, and building tools for data visualization and observability.
• Legacy & Modernization: Experience in maintaining and improving legacy systems, with the ability to evaluate tradeoffs between refactoring, rebuilding, and buying solutions.
• Strong Communication: Excellent written and verbal communication skills, with a proactive approach to cross-functional collaboration.
• Education: BS/MS in Computer Science, Applied Math, Engineering, or a related field, or equivalent practical exp.

Nice-to Have

• Experience building UI tools for ML practitioners or data scientists.
• Deep understanding of ML model development, deployment, and monitoring workflows.
• Track record of shipping and refining products based on user feedback.
• Passion for data-driven product development and improving engineering productivity.

About You

• You’re passionate about empowering others and building tools that create leverage for ML/AI practitioners.
• You thrive in ambiguous environments and can deliver results while investing in long-term solutions.
• You’re collaborative, value diverse perspectives, and contribute to a culture of inclusion and excellence.
• You’re curious, eager to learn new technologies and domains, and enjoy mentoring others.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.